潘清泉 助理教授
所在系所核科学与工程学院
办公电话
通讯地址上海交通大学机械与动力工程学院A307室
电子邮件panqingquan@sjtu.edu.cn
个人主页http://me.sjtu.edu.cn/teacher_directory1/panqingquan.html


教育背景 2015.08 - 2020.10 清华大学工程物理系 核科学与技术 博士
2019.06 - 2020.06 瑞典皇家理工学院 物理中心 联合培养
2016.05 - 2017.05 中国广核集团 中广核研究院 联合培养
2011.09 - 2015.06 武汉大学动力与机械学院 核工程与核技术 本科

工作经历 2020.10 - 至今 上海交通大学 机械与动力工程学院/核科学与工程学院 助理教授

出访及挂职经历 2015.05 - 2015.08 中国核工业集团 武汉核动力运行研究所 实习
2017.05 - 2017.07 中国科学院 上海应用物理研究所 实习
2018.06 - 2018.08 国家电力投资集团 上海核工程研究设计院 实习

研究方向 核反应堆物理计算；
辐射防护与屏蔽计算；
蒙特卡洛方法与程序开发；
参与开发蒙卡程序RMC、堆芯程序NLSP3
（常年招收博士/硕士研究生，欢迎联系）

代表性论文专著 [1] Q Pan, H Lu, D Li, et al. A new nonlinear iterative method for SPN theory. Annals of Nuclear Energy, 2017, 110:920-927.
[2] Q Pan, J Rao, K Wang, et al. The optimal source bias method based on RMC code. Annals of Nuclear Energy, 2018, 121:525-530.
[3] Q Pan, H Lu, D Li, et al. The differences between the two forms of semi- analytical nodal methods on solving the SP3 equations. Nuclear Engineering and Radiation Science, 2018, 4:1-6.
[4] Q Pan, K Wang. An adaptive variance reduction algorithm based on RMC code for solving deep penetration problems. Annals of Nuclear Energy, 2019, 128:171-180.
[5] Q Pan, K Wang. One-step Monte Carlo global homogenization based on RMC code. Nuclear Engineering and Technology, 2019, 51:1209-1217.
[6] Q Pan, J Rao, et al. Improved adaptive variance reduction algorithm based on RMC code for deep penetration problems. Annals of Nuclear Energy, 2020, 137:1-8.
[7] Q Pan. K Wang. Acceleration method of fission source convergence based on RMC code. Nuclear Engineering and Technology, 2020, 52(7):1347-1354.
[8] Q Pan, J Rao, K Wang. The predictive-correction method for solving deep penetration problems. Transactions of American Nuclear Society, 2018, 119:1083-1087.
[9] Q Pan, H Lu, D Li, et al. Study on semi-analytical nodal method for solving SP3 equation. Proceedings of 25th International Conference on Nuclear Engineering (ICONE 25), 2017.
[10] Q Pan, H Lu, D Li, et al. The rigorous SP3 theory and study on its numerical verification. Proceedings of 25th International Conference on Nuclear Engineering (ICONE 25), 2017.
[11] Q Pan, K Wang. The deep-coupling and preprocessed photon transport based on RMC code. Proceedings of 26th International Conference on Nuclear Engineering (ICONE 26), 2018.
[12] 潘清泉, 卢皓亮, 等. SP3方程的非线性迭代解法研究. 核动力工程, 2017, 38(3):38-42.
[13] 潘清泉, 王侃, 李昊, 等. 基于RMC程序的用康普顿轮廓进行束缚态电子多普勒展宽修正研究. 原子能科学技术, 2018, 52(7):1231-1236.
[14] 潘清泉, 饶俊杰, 王侃. 蒙特卡洛临界计算能量偏移的最佳源偏移方法. 原子能科学技术, 2019,53(7):1153-1159.
[15] 潘清泉, 王侃. 求解深穿透问题的能量偏倚减方差方法. 核动力工程，2020, 41(1):1-6.
[16] Q Pan, K Wang. SP3-Driven global variance reduction method based on RMC code. Under Review.
[17] Q Pan, K Wang. Uniform Variance Method for Accelerated Monte Carlo Criticality Calculation. Under Review.
[18] Q Pan, K Wang. Optimal batch size growth for Wielandt method and Superhistory method. Under Review.
[19] Q Pan, Q Sun, et al. Source extrapolation scheme for Monte Carlo criticality calculation based on RMC code. Under Review.

学术兼职 2017 25nd International Conference on Nuclear Engineering, Technical Session Co-Chair

荣誉奖励 国家奖学金 2017 2018 2019
清华大学博士生论坛优秀论文奖 2018 2019